steam-backlog-enforcer/steam_backlog_enforcer/_hltb_confidence.py
2026-10-10 16:07:42 +02:00

207 lines
6.8 KiB
Python

"""Cached HowLongToBeat confidence lookups.
Split out of :mod:`steam_backlog_enforcer.hltb` to keep both files
under the 250-line cap.
"""
from __future__ import annotations
import logging
import time
from steam_backlog_enforcer._hltb_cached import reporting_progress_cb
from steam_backlog_enforcer._hltb_types import (
HLTB_BASE_URL,
ProgressCb,
_HLTBExtras,
load_hltb_cache,
load_hltb_count_comp_cache,
load_hltb_game_id_cache,
load_hltb_leisure_100h_cache,
load_hltb_polls_cache,
load_hltb_rush_cache,
restore_prior_hours,
save_hltb_cache,
)
from steam_backlog_enforcer.hltb import (
fetch_hltb_confidence,
fetch_hltb_times,
fetch_hltb_times_timed,
games_per_second,
)
logger = logging.getLogger(__name__)
# ──────────────────────────────────────────────────────────────
# Confidence-only batch fetch (no leisure/DLC detail pages)
# ──────────────────────────────────────────────────────────────
def refetch_poll_counts(missing: list[tuple[int, str]]) -> dict[int, int]:
"""Re-search ``missing`` for poll counts and return the refreshed polls cache.
The search-level fetch skips anything already in the hours cache, so the
hours entries are dropped first to force it -- then put back where the
refetch found nothing better, since a prior leisure/DLC estimate is
trusted over a miss.
"""
cache = load_hltb_cache()
polls = load_hltb_polls_cache()
preserved_hours = {aid: cache[aid] for aid, _ in missing if aid in cache}
for aid, _name in missing:
cache.pop(aid, None)
save_hltb_cache(cache, polls)
fetch_hltb_confidence_cached(missing)
refreshed_hours = load_hltb_cache()
refreshed_polls = load_hltb_polls_cache()
restore_prior_hours(refreshed_hours, preserved_hours)
save_hltb_cache(refreshed_hours, refreshed_polls)
return refreshed_polls
def fetch_hltb_confidence_cached(
games: list[tuple[int, str]],
progress_cb: ProgressCb | None = None,
) -> dict[int, float]:
"""Fetch HLTB search-level confidence data, using disk cache for known IDs."""
cache = load_hltb_cache()
polls = load_hltb_polls_cache()
count_comp = load_hltb_count_comp_cache()
uncached = [(app_id, name) for app_id, name in games if app_id not in cache]
if uncached:
logger.info(
"Fetching HLTB confidence for %d uncached games (%d cached)...",
len(uncached),
len(games) - len(uncached),
)
t0 = time.monotonic()
fetch_hltb_confidence(
uncached,
cache=cache,
polls=polls,
progress_cb=reporting_progress_cb(
"Fetching HLTB poll counts", len(uncached), progress_cb
),
count_comp=count_comp,
)
elapsed = time.monotonic() - t0
save_hltb_cache(cache, polls, _HLTBExtras(count_comp=count_comp))
found = sum(1 for aid, _ in uncached if cache.get(aid, -1) > 0)
rate = len(uncached) / elapsed if elapsed > 0 else 0
logger.info(
"HLTB confidence fetch done: %d/%d found in %.1fs (%.0f games/s)",
found,
len(uncached),
elapsed,
rate,
)
else:
logger.info("All %d games found in HLTB cache.", len(games))
return cache
def fetch_hltb_detail_missing(
games: list[tuple[int, str]],
progress_cb: ProgressCb | None = None,
) -> int:
"""Fetch HLTB detail (rush + leisure) for games that are missing it.
Also backfills ``hltb_game_id`` for any game that already has rush/leisure
data but whose HLTB game ID was never stored (e.g. from an old cache).
Games with both rush data and a game_id are skipped entirely. For the
rest, temporarily removes them from the hours cache so ``fetch_hltb_times``
will visit their detail pages. Restores prior hours for any game the
re-fetch doesn't find.
Args:
games: list of (app_id, name) tuples to check.
progress_cb: optional progress callback.
Returns:
Number of games that now have rush-hour data after the fetch.
"""
rush = load_hltb_rush_cache()
game_id_cache = load_hltb_game_id_cache()
missing_rush = [
(app_id, name) for app_id, name in games if rush.get(app_id, -1) <= 0
]
# Also re-search games that have rush data but no HLTB game ID yet so the
# direct URL can be shown in stats output.
missing_id_only = [
(app_id, name)
for app_id, name in games
if rush.get(app_id, -1) > 0 and game_id_cache.get(app_id, 0) == 0
]
missing = missing_rush + missing_id_only
if not missing:
return 0
cache = load_hltb_cache()
polls = load_hltb_polls_cache()
extras = _HLTBExtras(
count_comp=load_hltb_count_comp_cache(),
rush=rush,
leisure_100h=load_hltb_leisure_100h_cache(),
hltb_game_id=game_id_cache,
)
# Remove from hours cache so fetch_hltb_times will visit the detail page.
prior_hours: dict[int, float] = {}
for app_id, _ in missing:
prior_hours[app_id] = cache.pop(app_id, -1.0)
n_rush = len(missing_rush)
n_id = len(missing_id_only)
if n_rush and n_id:
logger.info(
"Fetching HLTB detail for %d games missing rush/leisure data"
" + %d games missing game ID...",
n_rush,
n_id,
)
elif n_rush:
logger.info(
"Fetching HLTB detail for %d games missing rush/leisure data...", n_rush
)
else:
logger.info("Backfilling HLTB game ID for %d game(s)...", n_id)
report = reporting_progress_cb("Fetching HLTB details", len(missing), progress_cb)
elapsed = fetch_hltb_times_timed(missing, cache, polls, report, extras)
restore_prior_hours(cache, prior_hours)
save_hltb_cache(cache, polls, extras)
fetched = sum(1 for app_id, _ in missing_rush if extras.rush.get(app_id, -1) > 0)
logger.info(
"HLTB detail fetch done: %d/%d got rush data in %.1fs (%.0f games/s)",
fetched,
len(missing_rush),
elapsed,
games_per_second(len(missing), elapsed),
)
return fetched
def get_hltb_submit_url(game_name: str) -> str | None:
"""Look up a game on HLTB and return its submit page URL.
Args:
game_name: Name of the game to search for.
Returns:
URL like ``https://howlongtobeat.com/submit/game/12345``,
or ``None`` if the game wasn't found.
"""
results = fetch_hltb_times([(0, game_name)])
if results and results[0].hltb_game_id:
return f"{HLTB_BASE_URL}/submit/game/{results[0].hltb_game_id}"
return None